Thank you again Fred,

Regards,

Jose.

On Wednesday, 25 January 2017 11:47:56 UTC-5, nouiz wrote:
>
> That is the problem. You use the old interface. Use the new one and 
> filter_dilation will work. We should not change the interface again, so 
> this problem shouldn't happen again. The old interface was specific to one 
> implementation, while the new one isn't.
>
> Fred
>
> On Wed, Jan 25, 2017 at 9:21 AM, Jose Dolz <[email protected] 
> <javascript:>> wrote:
>
>> Hi Fred,
>>
>> thank you for your answer.
>>
>> So far I use this conv:
>>
>> theano.tensor.nnet.conv3d2d.conv3d
>>
>> Jose
>>
>> On Tuesday, 24 January 2017 16:53:47 UTC-5, nouiz wrote:
>>>
>>> theano.tensor.nnet.abstract_conv.conv3d() support the dilation 
>>> parameter. which conv3d() do you talk about?
>>>
>>> I suggest you to use the path I gave. This is the recommanded way.
>>>
>>> Fred
>>>
>>> On Tue, Jan 24, 2017 at 4:23 PM, Jose Dolz <[email protected]> wrote:
>>>
>>>> Hi,
>>>>
>>>> I have seen that since some months ago dilation convolutions are 
>>>> possible for 2D kernels, by including one of the parameters of conv2d (
>>>>
>>>> *filter_dilation)*I was wondering whether someone knows if there are 
>>>> or will be some implementations of these dilation convolutions in 3D, 
>>>> because the 3D version of conv2d does not support these type of 
>>>> convolutions.
>>>>
>>>> Thanks in advance!!
>>>>
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>

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